About: The scikitlearn project is a machine learning library in Python. Changes:Update for 0.18 .1

About: A scalable, fast C++ machine learning library, with emphasis on usability. Changes:Fixed CoverTree to properly handle singlepoint datasets.  Fixed a bug in CosineTree (and thus QUICSVD) that caused split failures for some datasets (#717).  Added mlpack_preprocess_describe program, which can be used to print statistics on a given dataset (#742).  Fix prioritized recursion for kfurthestneighbor search (mlpack_kfn and the KFN class), leading to ordersofmagnitude speedups in some cases.  Bump minimum required version of Armadillo to 4.200.0.  Added simple Gradient Descent optimizer, found in src/mlpack/core/optimizers/gradient_descent/ (#792).  Added approximate furthest neighbor search algorithms QDAFN and DrusillaSelect in src/mlpack/methods/approx_kfn/, with commandline program mlpack_approx_kfn.

About: The apcluster package implements Frey's and Dueck's Affinity Propagation clustering in R. The package further provides leveraged affinity propagation, exemplarbased agglomerative clustering, and various tools for visual analysis of clustering results. Changes:

About: FABIA is a biclustering algorithm that clusters rows and columns of a matrix simultaneously. Consequently, members of a row cluster are similar to each other on a subset of columns and, analogously, members of a column cluster are similar to each other on a subset of rows. Biclusters are found by factor analysis where both the factors and the loading matrix are sparse. FABIA is a multiplicative model that extracts linear dependencies between samples and feature patterns. Applications include detection of transcriptional modules in gene expression data and identification of haplotypes/>identity by descent< consisting of rare variants obtained by next generation sequencing. Changes:CHANGES IN VERSION 2.8.0NEW FEATURES
CHANGES IN VERSION 2.4.0
CHANGES IN VERSION 2.3.1NEW FEATURES
2.0.0:
1.4.0:

About: The Rchemcpp package implements the marginalized graph kernel and extensions, Tanimoto kernels, graph kernels, pharmacophore and 3D kernels suggested for measuring the similarity of molecules. Changes:Moved from CRAN to Bioconductor. Improved handling of molecules, visualization and examples.

About: PSVM  Support vector classification, regression and feature extraction for nonsquare dyadic data, nonMercer kernels. Changes:Initial Announcement on mloss.org.

About: CRFSuite is a speedoriented implementation of Conditional Random Fields (CRFs). This software features: parameter estimation using SGD and LBFGS, l1/l2 regularization, simple data I/O format, etc. Changes:Initial Announcement on mloss.org.

About: Java package implementing a kernel for (molecular) graphs based on iterative graph similarity and optimal assignments. Changes:Initial Announcement on mloss.org.

About: PyML is an interactive object oriented framework for machine learning in python with a focus on kernel methods. Changes:Initial Announcement on mloss.org.
